Data Engineer

Jyoro Technologies; Chicago (IL); Hybrid; USD 100,000 - 160,000; Full time

Benefits offered by this job

Learning opportunities

Job summary

Jyoro Technologies is seeking a Data Engineer to design scalable ETL pipelines, manage large datasets, and work with cloud data warehouses to support BI and ML use cases.

Ideal candidates will have hands-on experience with Python, SQL, Spark, and modern data tooling, and enjoy collaborating with cross-functional teams in a dynamic environment.

Qualifications

• Experience designing scalable ETL pipelines.
• Experience with cloud data warehouses.
• Ability to collaborate with cross-functional teams.
• Hands-on experience with BI/ML use cases.

Responsibilities

• Design scalable ETL pipelines and data models.
• Manage large datasets and optimize storage and performance.
• Work with cloud data warehouses (AWS/GCP) to support BI/ML use cases.
• Collaborate with data scientists and analysts to enable data-driven decisions.

Skills

Python

SQL

Spark

ETL

Airflow

Kafka

Tools

AWS

GCP

Snowflake

BigQuery

Redshift

Job description

Location: Chicago / Remote Apply By: Ongoing Job Type: Full-Time

We are seeking a skilled and motivated Data Engineer to join our team and contribute to high-impact projects. The ideal candidate will have relevant hands-on experience, strong problem-solving abilities, and the ability to collaborate effectively with cross-functional teams in a dynamic work environment.

Job Description

Design scalable ETL pipelines, manage large datasets, work with cloud data warehouses, and support BI and ML use cases.

Python SQL Spark AWS GCP ETL Snowflake Airflow Kafka BigQuery Redshift

Why Join Us?

Learning opportunities